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Merge branch 'main' of http://1.15.179.94:3000/admin/heilan

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# Conflicts:
#	SQL.sql
This commit is contained in:
zhumr
2025-09-19 15:10:28 +08:00
parent 67a5b0c78b
commit c3896caaf1
2 changed files with 164 additions and 56 deletions
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218
SQL.sql
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@@ -1,7 +1,6 @@
<<<<<<< HEAD
-- 线上店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价 -- 线上店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价
SELECT SELECT
sales.store_name as '店铺名称', sales.store_code as '店铺编码',
year(sales.order_date) AS '年份', year(sales.order_date) AS '年份',
round(sum(sales.order_settle_amt),2) as '销售金额', round(sum(sales.order_settle_amt),2) as '销售金额',
COUNT(sales.platform_order_no) + COUNT(sales.platform_order_no) +
@@ -14,19 +13,19 @@ FROM
left join dwd_trade_hkaudit_ecommerce_sale_return_mt refund left join dwd_trade_hkaudit_ecommerce_sale_return_mt refund
on sales.platform_order_no = refund.platform_order_no on sales.platform_order_no = refund.platform_order_no
left join dwd_trade_hkaudit_ecommerce_sale_change_mt change left join dwd_trade_hkaudit_ecommerce_sale_change_mt change
on refund.platform_order_no = change.platform_order_no on sales.platform_order_no = change.platform_order_no
WHERE WHERE
sales.order_date >= '2022-01-01 00:00:00' sales.order_date >= '2022-01-01 00:00:00'
AND sales.order_date <'2025-07-31 00:00:00' AND sales.order_date <'2025-07-31 00:00:00'
GROUP BY GROUP BY
sales.store_name, year(sales.order_date) sales.store_code, year(sales.order_date)
ORDER BY ORDER BY
sales.store_name ASC, 年份 ASC sales.store_code ASC, 年份 ASC
-- 线下店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价 -- 线下店铺年度销售金额、订单数量、退款金额、退款订单数、订单均价
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
YEAR(pay_date) as '年份', YEAR(pay_date) as '年份',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额', round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额',
count(CASE WHEN pay_amt > 0 THEN receipt_no ELSE NULL END) as '订单数量', count(CASE WHEN pay_amt > 0 THEN receipt_no ELSE NULL END) as '订单数量',
@@ -38,13 +37,13 @@ WHERE
pay_date >= '2022-01-01 00:00:00' pay_date >= '2022-01-01 00:00:00'
AND pay_date < '2025-07-01 00:00:00' AND pay_date < '2025-07-01 00:00:00'
GROUP BY GROUP BY
store_name, YEAR(pay_date) store_code, YEAR(pay_date)
ORDER BY ORDER BY
store_name ASC, 年份 ASC; store_code ASC, 年份 ASC;
-- 线上店铺月度销售金额 -- 线上店铺月度销售金额
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
YEAR(order_date) as '年份', YEAR(order_date) as '年份',
month(order_date) as '月份', month(order_date) as '月份',
round(sum(order_settle_amt),2) as '销售金额' round(sum(order_settle_amt),2) as '销售金额'
@@ -54,13 +53,13 @@ WHERE
order_date >= '2022-01-01 00:00:00' order_date >= '2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00' AND order_date <'2025-07-01 00:00:00'
GROUP BY GROUP BY
store_name,年份,月份 store_code,年份,月份
order BY order BY
store_name,年份 asc,月份 asc store_code,年份 asc,月份 asc
-- 线下店铺月度销售金额 -- 线下店铺月度销售金额
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
year(pay_date) as '年份', year(pay_date) as '年份',
month(pay_date) as '月份', month(pay_date) as '月份',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额' round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额'
@@ -70,9 +69,9 @@ WHERE
pay_date >= '2022-01-01 00:00:00' pay_date >= '2022-01-01 00:00:00'
AND pay_date <'2025-07-01 00:00:00' AND pay_date <'2025-07-01 00:00:00'
GROUP BY GROUP BY
store_name,year(pay_date),month(pay_date) store_code,year(pay_date),month(pay_date)
order BY order BY
store_name,年份 asc,月份 asc store_code,年份 asc,月份 asc
-- 线上每年各产品数量、产品销售金额 -- 线上每年各产品数量、产品销售金额
SELECT SELECT
@@ -91,35 +90,41 @@ order BY
goods_barcode,年份; goods_barcode,年份;
-- 线下每年各产品数量、产品销售金额 -- 线下每年各产品数量、产品销售金额
-- (订单号重复，根据订单号groupby后失去产品信息，小票支付表仅有订单号可关联，如何计算？)
SELECT
YEAR(b.pay_time) as '年份',
a.goods_name as '商品名称',
a.goods_barcode as '商品条码',
SUM(a.good_qty) as '产品数量',
ROUND(SUM(b.pay_amt), 2) as '销售金额'
FROM (
-- 订单表（商品信息）
SELECT
platform_order_no,
goods_name,
goods_barcode,
good_qty
FROM dwd_trade_hkaudit_shop_receipt_mt
) a
INNER JOIN (
-- 支付表（支付金额和时间，只取销售金额>0）
SELECT
platform_order_no,
MAX(pay_date) as pay_time,
SUM(pay_amt) as pay_amt
FROM dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE pay_date >= '2022-01-01 00:00:00'
AND pay_date < '2025-07-01 00:00:00'
AND pay_amt > 0 -- 只取销售金额（正数）
GROUP BY platform_order_no
) b ON a.platform_order_no = b.platform_order_no
GROUP BY YEAR(b.pay_time), a.goods_name, a.goods_barcode
ORDER BY 年份, 销售金额 DESC;
-- FROM(
-- SELECT
-- platform_order_no,
-- max(pay_date) as pay_time,
-- sum(pay_amt) as amount
-- FROM
-- dwd_trade_hkaudit_shop_receipt_pay_mt
-- WHERE
-- pay_date >='2022-01-01 00:00:00'
-- AND pay_date <'2025-07-01 00:00:00'
-- GROUP BY
-- platform_order_no
-- ) pay
-- left join(
-- SELECT
-- platform_order_no,
-- count(platform_order_no) as num
-- FROM
-- dwd_trade_hkaudit_shop_receipt_mt
-- GROUP BY
-- platform_order_no
-- ) order_num
-- on
-- pay.platform_order_no = order_num.platform_order_no
-- 线上每年前五店铺金额分布 -- 线上每年前五店铺金额分布
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
sum(order_settle_amt) as '销售金额' sum(order_settle_amt) as '销售金额'
FROM FROM
dwd_trade_hkaudit_ecommerce_sale_mt dwd_trade_hkaudit_ecommerce_sale_mt
@@ -127,14 +132,14 @@ WHERE
order_date >= '2022-01-01 00:00:00' order_date >= '2022-01-01 00:00:00'
AND order_date < '2023-01-01 00:00:00' AND order_date < '2023-01-01 00:00:00'
GROUP BY GROUP BY
store_name store_code
order BY order BY
sum(order_settle_amt) desc sum(order_settle_amt) desc
LIMIT 5 LIMIT 5
-- 线下每年前五店铺金额分布 -- 线下每年前五店铺金额分布
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额' round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额'
FROM FROM
dwd_trade_hkaudit_shop_receipt_pay_mt dwd_trade_hkaudit_shop_receipt_pay_mt
@@ -142,9 +147,9 @@ WHERE
pay_date >= '2022-01-01 00:00:00' pay_date >= '2022-01-01 00:00:00'
AND pay_date <'2023-01-01 00:00:00' AND pay_date <'2023-01-01 00:00:00'
GROUP BY GROUP BY
店铺名称 店铺编码
order BY order BY
线上店铺前五金额分布 desc 销售金额 desc
LIMIT 5 LIMIT 5
-- 线上每年各省份销售金额、订单数量 -- 线上每年各省份销售金额、订单数量
@@ -163,7 +168,18 @@ GROUP BY
-- 线下每年各店铺所在省份销售金额、订单数量 -- 线下每年各店铺所在省份销售金额、订单数量
-- (如何确认店铺所在省份？) -- (如何确认店铺所在省份？)
SELECT
store_code as '店铺编码',
round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as '销售金额'
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >= '2022-01-01 00:00:00'
AND pay_date <'2023-01-01 00:00:00'
GROUP BY
店铺编码
order BY
销售金额 desc
-- 线上每年单笔订单金额分布 -- 线上每年单笔订单金额分布
-- (并单如何考虑单笔金额？) -- (并单如何考虑单笔金额？)
@@ -249,7 +265,18 @@ ORDER BY
END; END;
-- 线上每年同一个收货地址销售金额、订单数量(需考虑脱敏情况) -- 线上每年同一个收货地址销售金额、订单数量(需考虑脱敏情况)
SELECT
地址
round(sum(sales.order_settle_amt),2) as '销售金额',
COUNT(sales.platform_order_no) +
SUM(LENGTH(sales.platform_order_no) - LENGTH(REPLACE(sales.platform_order_no, ',', ''))) as '订单数量'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt
WHERE
order_date >='2022-01-01 00:00:00'
AND order_date <'2025-07-01 00:00:00'
GROUP BY
地址
-- 线上每年各天和各小时订单数和销售金额 -- 线上每年各天和各小时订单数和销售金额
-- 各天 -- 各天
@@ -296,7 +323,7 @@ FROM(
SELECT SELECT
platform_order_no, platform_order_no,
max(pay_date) as pay_time, max(pay_date) as pay_time,
sum(pay_amt) as amount round(sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END), 2) as amount
FROM FROM
dwd_trade_hkaudit_shop_receipt_pay_mt dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE WHERE
@@ -331,7 +358,7 @@ FROM (
SELECT SELECT
platform_order_no, platform_order_no,
MAX(pay_date) as pay_time, MAX(pay_date) as pay_time,
SUM(pay_amt) as amount sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) as amount
FROM FROM
dwd_trade_hkaudit_shop_receipt_pay_mt dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE WHERE
@@ -358,7 +385,7 @@ ORDER BY
-- 线上每年大促期间店铺销售金额、订单数量 -- 线上每年大促期间店铺销售金额、订单数量
SELECT SELECT
store_name as '店铺名称', store_code as '店铺编码',
YEAR(order_date) AS '年份', YEAR(order_date) AS '年份',
CASE CASE
WHEN (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 15 AND 21) THEN '父亲节' WHEN (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 15 AND 21) THEN '父亲节'
@@ -377,8 +404,8 @@ WHERE order_date >= '2022-01-01 00:00:00'
(MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 10 AND 20) OR -- 618 (MONTH(order_date) = 6 AND DAY(order_date) BETWEEN 10 AND 20) OR -- 618
(MONTH(order_date) = 11 AND DAY(order_date) BETWEEN 1 AND 15) -- 双11 (MONTH(order_date) = 11 AND DAY(order_date) BETWEEN 1 AND 15) -- 双11
) )
GROUP BY store_name, YEAR(order_date), 大促类型 GROUP BY store_code, YEAR(order_date), 大促类型
ORDER BY store_name ASC, 年份 ASC, ORDER BY store_code ASC, 年份 ASC,
CASE CASE
WHEN '大促类型' = '父亲节' THEN 1 WHEN '大促类型' = '父亲节' THEN 1
WHEN '大促类型' = '618' THEN 2 WHEN '大促类型' = '618' THEN 2
@@ -386,19 +413,100 @@ ORDER BY store_name ASC, 年份 ASC,
END; END;
-- 线下每年大促期间店铺销售金额、订单数量 -- 线下每年大促期间店铺销售金额、订单数量
SELECT
year(pay_time) as '年份',
pay.store as '店铺编码',
CASE
WHEN (MONTH(pay.pay_time) = 6 AND DAY(pay.pay_time) BETWEEN 15 AND 21) THEN '父亲节'
WHEN (MONTH(pay.pay_time) = 6 AND DAY(pay.pay_time) BETWEEN 10 AND 20) THEN '618'
WHEN (MONTH(pay.pay_time) = 11 AND DAY(pay.pay_time) BETWEEN 1 AND 15) THEN '双11'
ELSE '其他'
END as '大促类型',
ROUND(SUM(pay.amount), 2) as '销售金额',
sum(order_num.num) as '订单数量'
FROM(
SELECT
platform_order_no,
max(store_code) as store,
max(pay_date) as pay_time,
sum(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) as amount
FROM
dwd_trade_hkaudit_shop_receipt_pay_mt
WHERE
pay_date >='2022-01-01 00:00:00'
AND pay_date <'2025-07-01 00:00:00'
AND (
(MONTH(pay_date) = 6 AND DAY(pay_date) BETWEEN 15 AND 21) OR -- 父亲节
(MONTH(pay_date) = 6 AND DAY(pay_date) BETWEEN 10 AND 20) OR -- 618
(MONTH(pay_date) = 11 AND DAY(pay_date) BETWEEN 1 AND 15) -- 双11
)
GROUP BY
platform_order_no
) pay
left join(
SELECT
platform_order_no,
count(platform_order_no) as num
FROM
dwd_trade_hkaudit_shop_receipt_mt
GROUP BY
platform_order_no
) order_num
on
pay.platform_order_no = order_num.platform_order_no
GROUP BY store_code, YEAR(order_date), 大促类型
ORDER BY store_code, 年份,
CASE
WHEN '大促类型' = '父亲节' THEN 1
WHEN '大促类型' = '618' THEN 2
WHEN '大促类型' = '双11' THEN 3
END;
-- 线上每年订单下单和发货间隔的销售金额、订单数量分布 -- 线上每年订单下单和发货间隔的销售金额、订单数量分布
-- (并单如何考虑下单时间？)
SELECT
CASE
FROM
dwd_trade_hkaudit_ecommerce_sale_mt sales
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date < '2025-07-31 00:00:00'
-- 线上每年各物流承运商销售金额、订单数量 -- 线上每年各物流承运商销售金额、订单数量
SELECT
year(sales.order_date) AS '年份',
carrier as '物流承运商',
round(sum(sales.order_settle_amt),2) as '销售金额',
COUNT(sales.platform_order_no) +
SUM(LENGTH(sales.platform_order_no) - LENGTH(REPLACE(sales.platform_order_no, ',', ''))) as '订单数量'
FROM
dwd_trade_hkaudit_ecommerce_sale_mt sales
WHERE
order_date >= '2022-01-01 00:00:00'
AND order_date < '2025-07-31 00:00:00'
GROUP BY
year(sales.order_date), carrier
order BY 年份, carrier;
-- 线上每年退款大于原销售的差异金额、订单数量 -- 线上每年退款大于原销售的差异金额、订单数量
-- 线下每年退款大于原销售的差异金额、订单数量 -- 线下每年退款大于原销售的差异金额、订单数量
======= SELECT
SELECT * FROM a;113333sss YEAR(pay_time) AS '年份',
>>>>>>> bcf2f3cd58c4c0fbd7ef580d305440999d743a5d SUM(total_refund - total_sale) AS '差异金额',
COUNT(*) AS '订单数量'
FROM (
SELECT
receipt_no,
SUM(CASE WHEN pay_amt > 0 THEN pay_amt ELSE 0 END) AS total_sale,
SUM(CASE WHEN pay_amt < 0 THEN ABS(pay_amt) ELSE 0 END) AS total_refund,
MAX(pay_date) AS pay_time
FROM dwd_trade_hkaudit_shop_receipt_pay_mt
GROUP BY order_id
HAVING total_refund > total_sale
)
GROUP BY YEAR(pay_time);

BIN
squirrel-sql-4.2.0-standard.jar
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